Evaluating population-level interventions to reduce inappropriate antibiotic use in healthcare and community settings : A systematic review protocol
Copyright: © 2024 Wu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited..
BACKGROUND: Inappropriate antibiotic use contributes significantly to the global challenge of antimicrobial resistance. While government-initiated population-level interventions are fundamental in addressing this issue, their full potential remains to be explored. This systematic review aims to assess the effectiveness of such interventions in reducing inappropriate antibiotic use among antibiotic providers and users in healthcare and community settings.
METHODS: We will conduct a systematic literature search across multiple databases and grey literature sources. We will include studies which evaluate the effectiveness of population-level interventions to reduce inappropriate antibiotic use in healthcare and community settings in both high-income and low- and middle-income countries. This includes government-initiated measures targeting antibiotic use through education, restriction, incentivization, coercion, training, persuasion, context modification, behavior modeling, or barrier reduction. Two reviewers will independently perform screening to select eligible studies, followed by data extraction. The outcomes of interest are various measures of antibiotic prescription and consumption, such as Defined Daily Dose (DDD) or number of prescriptions per year. We anticipate including a broad range of study designs and outcome measures. Therefore, we will narratively synthesize results using the categories of the population-level policy interventions of the Behavior Change Wheel Framework. We will organize outcome data by economic contexts, target populations, and implementation settings.
DISCUSSION: This review will strengthen the evidence base for the use of population-level interventions to address inappropriate antibiotic use. Drawing lessons from global experiences, the findings will provide valuable guidance to health policymakers, public health authorities, and researchers on tailoring interventions to specific economic contexts, populations, and settings, thereby enhancing their capacity to drive substantial improvement in appropriate antibiotic use.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2024 |
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Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:19 |
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Enthalten in: |
PloS one - 19(2024), 3 vom: 31., Seite e0300780 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Wu, Shishi [VerfasserIn] |
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Anmerkungen: |
Date Completed 20.03.2024 Date Revised 25.03.2024 published: Electronic-eCollection Citation Status MEDLINE |
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doi: |
10.1371/journal.pone.0300780 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM369882032 |
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520 | |a BACKGROUND: Inappropriate antibiotic use contributes significantly to the global challenge of antimicrobial resistance. While government-initiated population-level interventions are fundamental in addressing this issue, their full potential remains to be explored. This systematic review aims to assess the effectiveness of such interventions in reducing inappropriate antibiotic use among antibiotic providers and users in healthcare and community settings | ||
520 | |a METHODS: We will conduct a systematic literature search across multiple databases and grey literature sources. We will include studies which evaluate the effectiveness of population-level interventions to reduce inappropriate antibiotic use in healthcare and community settings in both high-income and low- and middle-income countries. This includes government-initiated measures targeting antibiotic use through education, restriction, incentivization, coercion, training, persuasion, context modification, behavior modeling, or barrier reduction. Two reviewers will independently perform screening to select eligible studies, followed by data extraction. The outcomes of interest are various measures of antibiotic prescription and consumption, such as Defined Daily Dose (DDD) or number of prescriptions per year. We anticipate including a broad range of study designs and outcome measures. Therefore, we will narratively synthesize results using the categories of the population-level policy interventions of the Behavior Change Wheel Framework. We will organize outcome data by economic contexts, target populations, and implementation settings | ||
520 | |a DISCUSSION: This review will strengthen the evidence base for the use of population-level interventions to address inappropriate antibiotic use. Drawing lessons from global experiences, the findings will provide valuable guidance to health policymakers, public health authorities, and researchers on tailoring interventions to specific economic contexts, populations, and settings, thereby enhancing their capacity to drive substantial improvement in appropriate antibiotic use | ||
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